Universities are at a pivotal moment to keep pace with the rapid changes brought on by an AI-enabled world. The recently released Council of Ontario Universities (COU) AI Task Force report provides critical direction for what is needed to prepare students and researchers for this “age of AI,” underscored by principles of trust, ethics and accountability. To fully realize the report’s vision, the Ontario Council of University Libraries (OCUL) affirms the intrinsic role of academic libraries in this campus work given their unique position at the intersection of digital research infrastructure, information literacy and knowledge stewardship.
As members of OCUL, the province’s university libraries work in world-class, collaborative governance structures that underpin robust, sustainable and responsive infrastructure to preserve and protect scholarly content.
OCUL member libraries are positioned to advance the vision of the COU report in many ways:
- They mindfully test novel technologies like chatbots and research assistants with an eye to equitable access and information integrity.
- They work in shared infrastructure to preserve and protect scholarly content, building highly efficient workflows to manage millions of print and online research materials.
- Their expert guidance makes it possible to navigate issues central to AI governance, including copyright and data privacy.
- They can readily help build student, faculty and staff AI literacy given its connection to information literacy, a skill set long championed by library teams.
“The COU AI Task Force report provides a timely and necessary roadmap for Ontario’s universities,” said Amy Greenberg, OCUL Executive Director. “The report calls for strengthened infrastructure, shared services, and coordinated investment that directly align with OCUL members’ long history of library innovation and collaboration. We see that exemplified today by our AI and Machine Learning Initiative that combines local experimentation with a strong focus on ethical awareness and human oversight – all backed by the skills and deep knowledge that libraries provide.”
From OCUL’s perspective, academic libraries are not peripheral to AI adoption – they are foundational. As Ontario universities adapt to an AI-enabled world, academic libraries are essential partners that support teaching, research and critical AI literacy across the disciplines.
About the OCUL AI and Machine Learning Initiative
Centered around a series of four exploratory projects and a capacity building program for librarians and library workers, the Ontario Council of University Libraries (OCUL) AI and Machine Learning Initiative promotes responsible, ethical AI and machine learning use in the academic library environment while developing related knowledge and skills across the OCUL membership and beyond. Learn more in the latest update from the AI and Machine Learning Initiative.